Sheet Lighting for Particle Detection in Drug Product Containers

2. The method of claim 1, wherein illuminating the container with the laser sheet includes illuminating the container with a laser sheet that passes through a central axis of the container.

3. The method of claim 1, wherein the laser sheet impinges upon the container in a first direction corresponding to a first axis, and wherein a plane of the laser sheet is defined by the first axis and a second axis orthogonal to the first axis.

4. The method of claim 3, wherein the first imager has an imaging axis that is substantially orthogonal to the first axis and the second axis.

5. The method of claim 3, wherein a thickness of the laser sheet, at a position where the laser sheet enters the container and along a third axis orthogonal to the first and second axes, is less than 3 millimeters.

6. The method of claim 1, wherein a thickness of the laser sheet covers between 1/360th and 1/30th of a perimeter of the container.

7. The method of claim 3, wherein the first direction is substantially orthogonal to a central axis of the container.

9. The method of claim 8, wherein the classifier is a trained machine learning model.

12. The imaging system of claim 11, wherein the laser sheet that passes through a central axis of the container.

13. The imaging system of claim 11, wherein the laser sheet impinges upon the container in a first direction corresponding to a first axis, and wherein a plane of the laser sheet is defined by the first axis and a second axis orthogonal to the first axis.

14. The imaging system of claim 13, wherein the first imager has an imaging axis that is substantially orthogonal to the first axis and the second axis.

15. The imaging system of claim 13, wherein a thickness of the laser sheet, at a position where the laser sheet enters the container and along a third axis orthogonal to the first and second axes, is less than 3 millimeters.

16. The imaging system of claim 11, wherein a thickness of the laser sheet covers between 1/360th and 1/30th of a perimeter of the container.

17. The imaging system of claim 13, wherein the first direction is substantially orthogonal to a central axis of the container.

19. The imaging system of claim 18, wherein the classifier is a trained machine learning model.